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Intro; Preface; Contents; About the Authors; Prologue; 1 Intelligent Adaptive Fuzzy Control; 1.1 Way to Modern Control Theory; 1.2 Overview of Fuzzy Control; 1.3 Overview of Adaptive Fuzzy Control; 1.4 Stability Issues in Adaptive Fuzzy Control; 1.5 Intelligent Adaptive Fuzzy Control; 1.6 State of the Art; 1.7 Summary; References; 2 Some Contemporary Stochastic Optimization Algorithms: A Glimpse; 2.1 Introduction; 2.2 Genetic Algorithm (GA); 2.3 Particle Swarm Optimization (PSO); 2.4 Covariance Matrix Adaptation (CMA); 2.5 Harmony Search Algorithm (HSA); 2.6 Summary; References
3 Fuzzy Controller Design I: Stochastic Algorithm-Based Approach3.1 Introduction; 3.2 Stable Fuzzy Controllers; 3.3 PSO-Based Design Methodology; 3.3.1 PSO-Based Fuzzy Controller Design; 3.3.2 The Design Algorithm; 3.4 HSA-Based Design Methodology; 3.4.1 HSA-Based Fuzzy Controller Design; 3.4.2 The Design Algorithm; 3.5 Stochastic Algorithm-Based Design Methodology: A Generalized Approach; 3.5.1 The Generic Design Algorithm; 3.6 A Comparative Case Study of Different Algorithms; 3.6.1 Case Study I: DC Motor Containing Nonlinear Friction Characteristics; 3.6.1.1 Performance Analysis of PSOBA
3.6.1.2 Performance Analysis of HSABA3.6.2 Case Study II: Duffing's Oscillatory System; 3.6.2.1 Case Study II (A): Duffing's Oscillatory System; Performance Analysis of PSOBA; Performance Analysis of HSABA; 3.6.2.2 Case Study II (B): Duffing's Oscillatory System with Disturbance; Performance Analysis of PSOBA; Performance Analysis of HSABA; 3.7 Summary; References; Lyapunov Strategy Based Design Methodologies; 4 Fuzzy Controller Design II: Lyapunov Strategy-Based Adaptive Approach; 4.1 Introduction; 4.2 Stable Adaptive Fuzzy Controllers; 4.3 Lyapunov Strategy-Based Approach (LSBA)
4.3.1 The Design Algorithm4.4 Case Studies; 4.4.1 Case Study I: DC Motor Containing Nonlinear Friction Characteristics; 4.4.2 Case Study II: Duffing's Oscillatory System; 4.4.2.1 Case Study II(A): Duffing's Oscillatory System; 4.4.2.2 Case Study II(B): Duffing's Oscillatory System with Disturbance; 4.5 Summary; References; 5 Fuzzy Controller Design III: Hybrid Adaptive Approaches; 5.1 Introduction; 5.2 Hybrid Design Methodology Using Lyapunov Strategy; 5.2.1 Lyapunov Theory-Based Hybrid Cascade Model; 5.2.1.1 Lyapunov Theory-Based Hybrid Cascade Algorithm
5.2.2 Lyapunov Theory-Based Hybrid Concurrent Model5.2.2.1 Lyapunov Theory-Based Hybrid Concurrent Algorithm; 5.2.3 Lyapunov Theory-Based Hybrid Preferential Model; 5.2.3.1 Lyapunov Theory-Based Hybrid Preferential Algorithm; 5.3 Case Studies; 5.3.1 Case Study I: DC Motor Containing Nonlinear Friction Characteristics; 5.3.1.1 Performance Analysis of PSO-Based Hybrid Controllers; 5.3.1.2 Performance Analysis of HSA-Based Hybrid Controllers; 5.3.2 Case Study II: Duffing's Oscillatory System; 5.3.2.1 Case Study II(A): Duffing's Oscillatory System
3 Fuzzy Controller Design I: Stochastic Algorithm-Based Approach3.1 Introduction; 3.2 Stable Fuzzy Controllers; 3.3 PSO-Based Design Methodology; 3.3.1 PSO-Based Fuzzy Controller Design; 3.3.2 The Design Algorithm; 3.4 HSA-Based Design Methodology; 3.4.1 HSA-Based Fuzzy Controller Design; 3.4.2 The Design Algorithm; 3.5 Stochastic Algorithm-Based Design Methodology: A Generalized Approach; 3.5.1 The Generic Design Algorithm; 3.6 A Comparative Case Study of Different Algorithms; 3.6.1 Case Study I: DC Motor Containing Nonlinear Friction Characteristics; 3.6.1.1 Performance Analysis of PSOBA
3.6.1.2 Performance Analysis of HSABA3.6.2 Case Study II: Duffing's Oscillatory System; 3.6.2.1 Case Study II (A): Duffing's Oscillatory System; Performance Analysis of PSOBA; Performance Analysis of HSABA; 3.6.2.2 Case Study II (B): Duffing's Oscillatory System with Disturbance; Performance Analysis of PSOBA; Performance Analysis of HSABA; 3.7 Summary; References; Lyapunov Strategy Based Design Methodologies; 4 Fuzzy Controller Design II: Lyapunov Strategy-Based Adaptive Approach; 4.1 Introduction; 4.2 Stable Adaptive Fuzzy Controllers; 4.3 Lyapunov Strategy-Based Approach (LSBA)
4.3.1 The Design Algorithm4.4 Case Studies; 4.4.1 Case Study I: DC Motor Containing Nonlinear Friction Characteristics; 4.4.2 Case Study II: Duffing's Oscillatory System; 4.4.2.1 Case Study II(A): Duffing's Oscillatory System; 4.4.2.2 Case Study II(B): Duffing's Oscillatory System with Disturbance; 4.5 Summary; References; 5 Fuzzy Controller Design III: Hybrid Adaptive Approaches; 5.1 Introduction; 5.2 Hybrid Design Methodology Using Lyapunov Strategy; 5.2.1 Lyapunov Theory-Based Hybrid Cascade Model; 5.2.1.1 Lyapunov Theory-Based Hybrid Cascade Algorithm
5.2.2 Lyapunov Theory-Based Hybrid Concurrent Model5.2.2.1 Lyapunov Theory-Based Hybrid Concurrent Algorithm; 5.2.3 Lyapunov Theory-Based Hybrid Preferential Model; 5.2.3.1 Lyapunov Theory-Based Hybrid Preferential Algorithm; 5.3 Case Studies; 5.3.1 Case Study I: DC Motor Containing Nonlinear Friction Characteristics; 5.3.1.1 Performance Analysis of PSO-Based Hybrid Controllers; 5.3.1.2 Performance Analysis of HSA-Based Hybrid Controllers; 5.3.2 Case Study II: Duffing's Oscillatory System; 5.3.2.1 Case Study II(A): Duffing's Oscillatory System